Physics Visa Sponsorship Jobs in Texas
Physics visa sponsorship jobs in Texas are concentrated around the state's national laboratories, research universities, and energy sector. Employers like Texas A&M, UT Austin, Sandia National Laboratories, and major oil and gas firms regularly hire physicists. Houston, Austin, and the Dallas-Fort Worth metro are the primary hiring hubs for sponsored physics roles.
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Get Access To All JobsINTRODUCTION
The Department of Radiation Physics at The University of Texas MD Anderson Cancer Center is seeking a highly motivated postdoctoral fellow to develop AI methods for personalized cervical cancer brachytherapy. The position will support two complementary, but independent research aims. This position will work in the lab of Dr. Shiqin Su. The first aim will focus on BrachyGo, a reinforcement learning-based treatment planning framework for cervical cancer brachytherapy. BrachyGo is designed to learn expert planning strategies and generate patient-specific treatment plans and will contribute to the broader Brachytherapy Planning Assistant (BPA), a web-based platform intended to streamline high-quality brachytherapy planning and expand access to advanced planning methods.
The second aim will focus on patient-specific recurrence-risk prediction, including development of spatially resolved three-dimensional recurrence-risk maps from multimodal clinical and imaging data. This work will use machine-learning and deep-learning approaches to characterize spatial patterns of treatment failure and support individualized treatment strategies. The fellow will develop and evaluate reinforcement learning, machine-learning, and deep-learning methods across both aims and will work closely with medical physicists, radiation oncologists, AI researchers, and collaborators in automated radiation treatment planning. The position provides opportunities for clinical shadowing, multidisciplinary research meetings, conference presentations, and peer-reviewed publications.
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
LEARNING OBJECTIVES
By the completion of the fellowship, the fellow is expected to:
- Develop advanced expertise in either reinforcement learning for automated treatment planning or multimodal deep learning for patient-specific recurrence-risk prediction, depending on the fellow's primary research focus.
- Develop expertise in formulating clinically relevant radiation oncology problems as machine-learning prediction or optimization tasks, including model development, validation, and interpretation using multimodal medical data.
- Gain experience developing and rigorously evaluating AI methods under real-world clinical constraints, including comparison with established clinical approaches and assessment of robustness and generalizability.
- Develop experience translating AI research into reproducible clinical research workflows, working with multidisciplinary collaborators, and leading dissemination through peer-reviewed publications and scientific presentations.
BASIC QUALIFICATIONS
Ph.D. or equivalent doctoral degree in medical physics, physics, biomedical engineering, computer science, electrical engineering, or a related quantitative field, awarded within the past three years.
PREFERRED QUALIFICATIONS
Experience in one or more of the following areas is strongly preferred: machine learning, deep learning, reinforcement learning, or medical image analysis.
Experience in medical physics, radiation therapy treatment planning, optimization, medical imaging, or DICOM is advantageous but not required.
ADDITIONAL APPLICATION INFORMATION
Applicants should submit:
- Curriculum vitae
- Brief statement describing research interests and relevant experience
- Contact information for references
POSITION INFORMATION
MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000, depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition.
Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law.
INTRODUCTION
The Department of Radiation Physics at The University of Texas MD Anderson Cancer Center is seeking a highly motivated postdoctoral fellow to develop AI methods for personalized cervical cancer brachytherapy. The position will support two complementary, but independent research aims. This position will work in the lab of Dr. Shiqin Su. The first aim will focus on BrachyGo, a reinforcement learning-based treatment planning framework for cervical cancer brachytherapy. BrachyGo is designed to learn expert planning strategies and generate patient-specific treatment plans and will contribute to the broader Brachytherapy Planning Assistant (BPA), a web-based platform intended to streamline high-quality brachytherapy planning and expand access to advanced planning methods.
The second aim will focus on patient-specific recurrence-risk prediction, including development of spatially resolved three-dimensional recurrence-risk maps from multimodal clinical and imaging data. This work will use machine-learning and deep-learning approaches to characterize spatial patterns of treatment failure and support individualized treatment strategies. The fellow will develop and evaluate reinforcement learning, machine-learning, and deep-learning methods across both aims and will work closely with medical physicists, radiation oncologists, AI researchers, and collaborators in automated radiation treatment planning. The position provides opportunities for clinical shadowing, multidisciplinary research meetings, conference presentations, and peer-reviewed publications.
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
LEARNING OBJECTIVES
By the completion of the fellowship, the fellow is expected to:
- Develop advanced expertise in either reinforcement learning for automated treatment planning or multimodal deep learning for patient-specific recurrence-risk prediction, depending on the fellow's primary research focus.
- Develop expertise in formulating clinically relevant radiation oncology problems as machine-learning prediction or optimization tasks, including model development, validation, and interpretation using multimodal medical data.
- Gain experience developing and rigorously evaluating AI methods under real-world clinical constraints, including comparison with established clinical approaches and assessment of robustness and generalizability.
- Develop experience translating AI research into reproducible clinical research workflows, working with multidisciplinary collaborators, and leading dissemination through peer-reviewed publications and scientific presentations.
BASIC QUALIFICATIONS
Ph.D. or equivalent doctoral degree in medical physics, physics, biomedical engineering, computer science, electrical engineering, or a related quantitative field, awarded within the past three years.
PREFERRED QUALIFICATIONS
Experience in one or more of the following areas is strongly preferred: machine learning, deep learning, reinforcement learning, or medical image analysis.
Experience in medical physics, radiation therapy treatment planning, optimization, medical imaging, or DICOM is advantageous but not required.
ADDITIONAL APPLICATION INFORMATION
Applicants should submit:
- Curriculum vitae
- Brief statement describing research interests and relevant experience
- Contact information for references
POSITION INFORMATION
MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000, depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition.
Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law.
Physics Job Roles in Texas
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Search Physics Jobs in TexasPhysics Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for physicists in Texas?
National laboratories and research universities are among the most consistent visa sponsors for physicists in Texas. Texas A&M University, the University of Texas at Austin, and UT Southwestern Medical Center regularly sponsor H-1B visa workers in physics-related roles. In the energy sector, companies like ExxonMobil, Schlumberger, and Halliburton have sponsored physicists and applied scientists, particularly for roles in geophysics and instrumentation.
Which visa types are most common for physics roles in Texas?
The H-1B is the most common visa for physicists in Texas, as physics roles in research, instrumentation, and applied science typically qualify as specialty occupations requiring at least a bachelor's degree in a specific technical field. J-1 visas are common for postdoctoral researchers at universities. Physicists with exceptional credentials may also qualify for the O-1A or EB-1A pathways, which do not require employer-specific sponsorship.
How to find physics visa sponsorship jobs in Texas?
Migrate Mate is built specifically for international job seekers and filters physics roles in Texas by visa sponsorship history, so you can focus on employers who have sponsored before. Search the Migrate Mate job board for physics positions in Texas and filter by location and role type. University research postings and national laboratory career portals are also worth monitoring directly alongside Migrate Mate.
Which cities in Texas have the most physics sponsorship jobs?
Austin and Houston lead in physics sponsorship opportunities. Austin's concentration of research universities, semiconductor firms, and tech companies creates demand for physicists in materials science, photonics, and R&D. Houston's energy industry drives hiring in geophysics, acoustics, and applied physics. The Dallas-Fort Worth metro adds opportunities in defense, aerospace, and medical imaging through employers like Lockheed Martin and major hospital systems.
Are there any Texas-specific considerations for physicists seeking visa sponsorship?
Texas has a strong pipeline from its flagship research universities, particularly UT Austin and Texas A&M, which regularly sponsor international students transitioning from OPT into H-1B status. The state's energy industry creates demand for physicists with backgrounds in acoustics, fluid dynamics, and geophysics that is less common in other states. Physicists in STEM-designated roles on F-1 OPT may qualify for a 24-month STEM OPT extension, giving additional time to secure sponsored employment.
What is the prevailing wage for sponsored physics jobs in Texas?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.